It explores translating natural language queries into structured Solr queries using LLM and metadata to improve search and user experience.
This blog post will focus on exploring Neural Sparse Search, an alternative approach to neural text search.
This blog post is a tutorial for the implementation of a text search API from a Postgres database with code examples.
See how to set up a collection and queries for chess information retrieval. Here we describe a search engine to improve the chess experience.
Discover your project’s best open source database options with our comprehensive review. Learn about their strengths and weaknesses.
Implementation of image retrieval through a textual query using a Vision Transformer and a GPT for image captioning.
The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.
This blog post is about how Filtering works in OpenSearch, exploring its importance, and how it is handle in vector search.
In this blog post we explore how to find and replace a specific value within a field of an Elasticsearch index.
This blog is about the use of NLP and ML techniques to detect and prevent the use of sexism in Information Retrieval Systems
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
